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Garg A, Bari L, Valera MA, Fernandez EI, Rocha JC, Quiñonero A, Domínguez F, Meseguer M. O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks. Hum Reprod 2021. [DOI: 10.1093/humrep/deab126.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Is the blastocyst morphology image analysis combined with the protein content of spent embryo culture medium a suitable way to predict embryo ploidy?
Summary answer
Morphological variables from blastocyst image analysis combined with IL-6 or MMP-1 concentration in spent culture medium showed more than 80% of accuracy for euploidy prediction.
What is known already
An artificial intelligence model based on the proteomic profile of euploid embryos and morphological data from blastocyst time-lapse images has been recently published (Bori et al., 2020). The most promising artificial neural network (ANN) algorithm considered 20 morphological variables extracted from image analysis and two proteins detected in embryo culture medium (MMP-1 and IL-6). The overall success rate on blind test data was 72.7% for live birth prediction. The main aim of the present study was to check if the same morphological variables combined with MMP-1 or IL-6 with a cost-effective technique could discriminate between euploid and aneuploid embryos.
Study design, size, duration
This prospective study included 120 embryos from the preimplantation genetic testing for aneuploidies (PGT-A) program. A single blastocyst image was obtained for each embryo and their spent culture medium was collected on the day 5/6 of embryo development (day of trophectoderm biopsy). Morphological variables were extracted for all the blastocyst. On the other hand, we quantified IL-6 levels of 67 embryos and MMP-1 levels of 53 embryos. Resulting parameters were used to predict PGT-A results.
Participants/materials, setting, methods
Blastocyst images were imported into Matlab software and segmented into regions of interest. We obtained 20 mathematical variables related to measurements of areas, number of pixels and texture analysis. Chromosome analysis was performed using next-generation sequence technology. In parallel, 20 µL of spent culture medium from each blastocyst was analyzed with ELISA kits (IL-6 or MMP-1). Protein concentrations and morphological variables were used as input data for an ANN associated with genetic algorithms.
Main results and the role of chance
The euploid rate for the set of embryos included in the IL-6 group was 51.4%. The ANN was trained with 49 embryos and blind tested with 18 embryos. Following results correspond to euploidy prediction on the blind test. The sensitivity, specificity, accuracy and area under the ROC curve (AUC) were: 0.56, 0.78, 0.67 and 0.72 considering only IL-6 values; 0.88, 0.78, 0.83 and 0.61 considering IL-6 values and blastocyst morphological data extracted from the image analysis. The euploid rate for the set of embryos included in the MMP-1 group was 51.9%. The ANN was trained with 39 embryos and blind tested with 14 embryos. Following results correspond to euploidy prediction on the blind test. The sensitivity, specificity, accuracy and AUC were: 0.71, 0.57, 0.64 and 0.67 considering only MMP-1 values; 0.86, 0.86, 0.86 and 0.61 considering MMP-1 values and morphological data extracted from the image analysis.
Limitations, reasons for caution
The detection limit in protein quantification is the main limitation of our study. The small number of embryos and the specific culture medium used should be considered for the model application.
Wider implications of the findings
Our preliminary results showed that blastocyst morphology and embryo secretomics could be useful for euploidy prediction by using artificial intelligence techniques. These findings may contribute to the emerging era of non-invasive preimplantation genetic testing (ni-PGT-A).
Trial registration number
not applicable
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Affiliation(s)
- A Garg
- IVIRMA, Research laboratory, Valencia, Spain
| | - L Bari
- IVIRMA, Research laboratory, Valencia, Spain
| | - M A Valera
- IVIRMA, Research laboratory, Valencia, Spain
| | - E I Fernandez
- Universidade Estadual Paulista UNESP, Faculdade de Ciências e Letras - Câmpus de Assis, São Paulo, Brazil
| | - J C Rocha
- Universidade Estadual Paulista UNESP, Faculdade de Ciências e Letras - Câmpus de Assis, São Paulo, Brazil
| | - A Quiñonero
- IVIRMA Foundation, Innovation, Valencia, Spain
| | - F Domínguez
- IVIRMA Foundation, Innovation, Valencia, Spain
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Chowdhury MM, Ullah AA, Mohammed S, Zeba IJ, Ahmed A, Shahriar S, Sobhan SA, Khan MI, Siddiqui O, Ahsan SM, Bari L. A Rare Case of Insulinoma: A Case Report. Mymensingh Med J 2020; 29:222-227. [PMID: 31915362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Insulinoma is a rare variety of endocrine neoplasm and is usually benign, solitary, and small in size. The hallmark of this disorder is high endogenous insulin secretion resulting in development of symptoms of hypoglycemia. Insulinomas account for 60% of islet cell tumors (ICT) of the pancreas. Ninety percent (90%) of the insulinomas measure less than 2cm. Early localization of the disease is essential to prevent lethal hypoglycemia. Here we report a case of insulinoma in a 28 year old female who subsequently underwent distal pancreatectomy with splenectomy on February 2017 in Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
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Affiliation(s)
- M M Chowdhury
- Professor Md Mohsen Chowdhury, Professor & Head of Yellow Unit II, Department of Hepatobiliary & Pancreatic Surgery, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh; E-mail:
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Akter B, Talukder N, Bari L, Mohd Salleh R. Evaluation of ripening period, shelf-life, and physiological properties of Sobri (Musa cavendish) and Sagor (Musa oranta) bananas triggered by ethephon and calcium carbide. Food Res 2019. [DOI: 10.26656/fr.2017.4(2).290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The current work emphasis on the influence of using natural and artificial (ethephon and
calcium carbide) process on bananas by sensory observation. The objective of the study
was to evaluate the ripening period, shelf-life and other physiological properties of
bananas using the natural and the artificial method. Ethephon and calcium carbide with
different concentrations, heat, and natural process were applied for the evaluation of two
banana species. The result shows different shelf-life, ripening period, and physiological
properties of both bananas which were monitored through the physical appearance and
sensorial analysis. The ripening period and shelf-life were between 2-3.5 days in both
bananas treated with ethephon. For calcium carbide treated banana, ripening period
evaluated as 2-3 days for Sagor and 3-4 days for Sobri with same shelf-life duration
approximately 2-3 days. Ripening period and Shelf-life for heat applied both bananas
were about 4-5 and 3-4 days, respectively. Moreover, it is observed that naturally ripening
process took 5-6 and 7-8 days for Sagor and Sobri bananas, respectively with the shelf-life
of 5-6 days. Bananas (both) treated with ethephon exhibited attractive bright yellow color
and stalk color was green for Sagor while it was yellow for Sobri bananas. Calcium
carbide treated both bananas had same peel color with different flavor and stalk color.
Heat applied both bananas found with same peel color like light yellow, with little flavor
and green in stalk color. Overall, the effect of natural process is found to be better with
respect to longer shelf-life approximately 5-6 days, attractive flavor, and soft texture than
the artificial process. Among artificially ripened bananas the effect of heat process is
better with respect to shelf-life around 3-4 days and application of ethephon process is
better with respect to physiological properties.
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Bari L, Hassan P, Absar N, Khatun S, Hossain MI. Purification and Characterization of Peroxidase From Anthracnose Disease Infected Papaya (Carica papaya L.). ACTA ACUST UNITED AC 2014. [DOI: 10.3329/bjmb.v6i2.17643] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Peroxidase enzyme was isolated and purified from the pulp of disease infected ripen papaya of local variety by 90% ammonium sulphate precipitation, chromatography on DEAEcellulose followed by hydrophobic chromatography on Phenyl Sepharose CL-4B and the purifications achieved was about 7.2 fold with 2.5% recovery. The purified enzyme was homogeneous as judged by polyacrylamide slab gel electrophoresis. The purified enzyme had a Mr of about 55,000 and 50 000 as determined by gel filtration on Sephadex G-100 and SDS-PAGE, respectively. The molecular mass of the enzyme was found to be very similar under both reducing and non-reducing conditions indicating that the enzyme contains no subunit. The enzyme has the following characteristics: pH optima at 6.0, temperature optima around 38°C, enzyme activity was found to be strongly inhibited in the presence of potassium cyanide and Fe+2 while the activity was found to be remarkably increased in the presence of ammonium sulphate. The Km value for the peroxidase obtained with pyrogallol as substrate was 0.027 mM. DOI: http://dx.doi.org/10.3329/bjmb.v6i2.17643 Bangladesh J Med Biochem 2013; 6(2): 49-57
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